-
Notifications
You must be signed in to change notification settings - Fork 45
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Computation efficiency #5
Comments
Hi @albertchang1989 , For the software release in this repo., we have not conducted a comparison between the implemented approaches and an EKF. This is primarily because the implementations contained in this repo. are batch estimators, and we do not know of a fair way to conduct an efficiency comparison between an incremental (e.g., an EKF) and a batch estimator. However, we have re-implemented all of the robust estimators in this repo. in an incremental nature through the utilization of the ISAM2 [1] algorithm in the following repo: https://github.com/wvu-navLab/ICE. Utilizing the software in this repo. a comparison could be conducted between the implemented approaches and an EKF. We have not done this comparison yet. If you were to use the provided software to conduct this computation efficiency comparison, we would definitely like to hear the results. Ryan [1] Kaess, Michael, et al. "iSAM2: Incremental smoothing and mapping using the Bayes tree." The International Journal of Robotics Research 31.2 (2012): 216-235. |
thanks a lot! |
The work is really impressive.
Do you compare the computation efficiency between the traditional EKF and your new proposed method?
The text was updated successfully, but these errors were encountered: